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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex data engineering initiatives, including architecture, implementation, and operation of data pipelines. Proficient in SQL, Python or Scala, and Apache Spark, with a strong focus on data modeling, performance engineering, and stakeholder alignment.
Highest-signal resume keywords
Data Engineering LeadershipSQL ExpertiseApache Spark ProficiencyData Modeling SkillsPerformance Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonScalaData ModelingData Pipeline DevelopmentPerformance EngineeringData Quality ControlsIncident RecoveryHistorical Data ManagementDistributed Processing
Soft Skills
Stakeholder AlignmentTechnical LeadershipMentorshipCommunication
Tools & Technologies
Apache SparkJiraWorkflow OrchestrationSQL Transformation FrameworksApache Iceberg
Industry Keywords
Data EngineeringAI UsageUnit EconomicsEnterprise ApplicationsFinancial MetricsCloud Cost Attribution
Tech Stack
Tools & technologiesApacheCloudPythonScalaSparkSQL
About the role
Key responsibilities & impact- Lead architecture, implementation, and operation of high-impact data pipelines across AI usage and cost, Unit Economics, enterprise applications, and critical financial metrics
- Define measurements for AI adoption, consumption, and spending and build consistent data models
- Evolve Unit Economics datasets connecting revenue and diverse cost drivers
- Build ingestion and transformation pipelines for Jira and other BizTech enterprise applications
- Translate ambiguous requirements into source contracts, reusable fact and dimension models, and technical designs
- Develop configurable pipelines and shared components for onboarding data sources, products, and business requirements
- Establish automated testing, reconciliation, anomaly detection, and monitoring
- Lead migrations and historical backfills through dependency analysis, validation, controlled cutovers, and recovery planning
- Optimize distributed processing, storage, and query performance
- Own production reliability through on-call participation, incident response, and runbook improvements
- Shape the technical roadmap, lead design reviews, mentor engineers, and improve Airbnb’s Data Engineering Paved Path
Requirements
What you’ll need- 9+ years of relevant industry experience with a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; or 6+ years of relevant experience with a PhD
- Track record of leading complex data engineering initiatives from ambiguous requirements through architecture, delivery, and sustained production ownership
- Deep expertise in SQL and strong programming skills in Python or Scala
- Extensive experience with Apache Spark and large-scale analytical storage systems
- Strong data modeling skills, including fact and dimension design, slowly changing dimensions, incremental processing, and historical data management
- Experience integrating heterogeneous sources, including APIs, enterprise applications, event data, and transactional systems
- Proven ability to build reliable pipelines and execute migrations and backfills
- Experience establishing data quality controls, observability, lineage, governance, and incident recovery practices
- Strong performance engineering skills involving distributed computation, storage, and query execution
- Ability to align stakeholders across engineering and business functions and communicate architectural tradeoffs
- Demonstrated technical leadership through mentorship and architectural guidance
- Experience with AI usage or cost measurement, cloud cost attribution, Unit Economics, enterprise application data, or financial and payments datasets is a plus
- Familiarity with workflow orchestration, SQL transformation frameworks, and Apache Iceberg is valuable
- Must live in a state where Airbnb, Inc. has a registered entity
Benefits
Comp & perks- Occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
- Reasonable accommodations throughout the recruitment process for applicants with disabilities
